Example usage for java.sql Types LONGVARCHAR

List of usage examples for java.sql Types LONGVARCHAR

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Introduction

In this page you can find the example usage for java.sql Types LONGVARCHAR.

Prototype

int LONGVARCHAR

To view the source code for java.sql Types LONGVARCHAR.

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Document

The constant in the Java programming language, sometimes referred to as a type code, that identifies the generic SQL type LONGVARCHAR.

Usage

From source file:org.apache.ddlutils.platform.mssql.MSSqlPlatform.java

/**
 * Creates a new platform instance./*from   www. java  2s  . com*/
 */
public MSSqlPlatform() {
    PlatformInfo info = getPlatformInfo();

    info.setMaxIdentifierLength(128);
    info.setPrimaryKeyColumnAutomaticallyRequired(true);
    info.setIdentityColumnAutomaticallyRequired(true);
    info.setMultipleIdentityColumnsSupported(false);
    info.setSupportedOnUpdateActions(
            new CascadeActionEnum[] { CascadeActionEnum.CASCADE, CascadeActionEnum.NONE });
    info.addEquivalentOnUpdateActions(CascadeActionEnum.NONE, CascadeActionEnum.RESTRICT);
    info.setSupportedOnDeleteActions(
            new CascadeActionEnum[] { CascadeActionEnum.CASCADE, CascadeActionEnum.NONE });
    info.addEquivalentOnDeleteActions(CascadeActionEnum.NONE, CascadeActionEnum.RESTRICT);

    info.addNativeTypeMapping(Types.ARRAY, "IMAGE", Types.LONGVARBINARY);
    // BIGINT will be mapped back to BIGINT by the model reader 
    info.addNativeTypeMapping(Types.BIGINT, "DECIMAL(19,0)");
    info.addNativeTypeMapping(Types.BLOB, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.BOOLEAN, "BIT", Types.BIT);
    info.addNativeTypeMapping(Types.CLOB, "TEXT", Types.LONGVARCHAR);
    info.addNativeTypeMapping(Types.DATALINK, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.DATE, "DATETIME", Types.TIMESTAMP);
    info.addNativeTypeMapping(Types.DISTINCT, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.DOUBLE, "FLOAT", Types.FLOAT);
    info.addNativeTypeMapping(Types.INTEGER, "INT");
    info.addNativeTypeMapping(Types.JAVA_OBJECT, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.LONGVARBINARY, "IMAGE");
    info.addNativeTypeMapping(Types.LONGVARCHAR, "TEXT");
    info.addNativeTypeMapping(Types.NULL, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.OTHER, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.REF, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.STRUCT, "IMAGE", Types.LONGVARBINARY);
    info.addNativeTypeMapping(Types.TIME, "DATETIME", Types.TIMESTAMP);
    info.addNativeTypeMapping(Types.TIMESTAMP, "DATETIME");
    info.addNativeTypeMapping(Types.TINYINT, "SMALLINT", Types.SMALLINT);

    info.setDefaultSize(Types.CHAR, 254);
    info.setDefaultSize(Types.VARCHAR, 254);
    info.setDefaultSize(Types.BINARY, 254);
    info.setDefaultSize(Types.VARBINARY, 254);

    setSqlBuilder(new MSSqlBuilder(this));
    setModelReader(new MSSqlModelReader(this));
}

From source file:org.apache.openjpa.jdbc.schema.Schemas.java

/**
 * Return the {@link Types} constant for the given SQL type name.
 *///from www.  j  a  va 2s.c  om
public static int getJDBCType(String name) {
    if ("array".equalsIgnoreCase(name))
        return Types.ARRAY;
    if ("bigint".equalsIgnoreCase(name))
        return Types.BIGINT;
    if ("binary".equalsIgnoreCase(name))
        return Types.BINARY;
    if ("bit".equalsIgnoreCase(name))
        return Types.BIT;
    if ("blob".equalsIgnoreCase(name))
        return Types.BLOB;
    if ("char".equalsIgnoreCase(name))
        return Types.CHAR;
    if ("clob".equalsIgnoreCase(name))
        return Types.CLOB;
    if ("date".equalsIgnoreCase(name))
        return Types.DATE;
    if ("decimal".equalsIgnoreCase(name))
        return Types.DECIMAL;
    if ("distinct".equalsIgnoreCase(name))
        return Types.DISTINCT;
    if ("double".equalsIgnoreCase(name))
        return Types.DOUBLE;
    if ("float".equalsIgnoreCase(name))
        return Types.FLOAT;
    if ("integer".equalsIgnoreCase(name))
        return Types.INTEGER;
    if ("java_object".equalsIgnoreCase(name))
        return Types.JAVA_OBJECT;
    if ("longvarbinary".equalsIgnoreCase(name))
        return Types.LONGVARBINARY;
    if ("longvarchar".equalsIgnoreCase(name))
        return Types.LONGVARCHAR;
    if ("null".equalsIgnoreCase(name))
        return Types.NULL;
    if ("numeric".equalsIgnoreCase(name))
        return Types.NUMERIC;
    if ("other".equalsIgnoreCase(name))
        return Types.OTHER;
    if ("real".equalsIgnoreCase(name))
        return Types.REAL;
    if ("ref".equalsIgnoreCase(name))
        return Types.REF;
    if ("smallint".equalsIgnoreCase(name))
        return Types.SMALLINT;
    if ("struct".equalsIgnoreCase(name))
        return Types.STRUCT;
    if ("time".equalsIgnoreCase(name))
        return Types.TIME;
    if ("timestamp".equalsIgnoreCase(name))
        return Types.TIMESTAMP;
    if ("tinyint".equalsIgnoreCase(name))
        return Types.TINYINT;
    if ("varbinary".equalsIgnoreCase(name))
        return Types.VARBINARY;
    if ("varchar".equalsIgnoreCase(name))
        return Types.VARCHAR;
    if (name == null || name.toLowerCase().startsWith("unknown"))
        return Types.OTHER;
    throw new IllegalArgumentException("name = " + name);
}

From source file:com.cloudera.sqoop.mapreduce.db.DataDrivenDBInputFormat.java

/**
 * @return the DBSplitter implementation to use to divide the table/query
 * into InputSplits./*w  ww  .j  av  a2 s. c o  m*/
 */
protected DBSplitter getSplitter(int sqlDataType) {
    switch (sqlDataType) {
    case Types.NUMERIC:
    case Types.DECIMAL:
        return new BigDecimalSplitter();

    case Types.BIT:
    case Types.BOOLEAN:
        return new BooleanSplitter();

    case Types.INTEGER:
    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.BIGINT:
        return new IntegerSplitter();

    case Types.REAL:
    case Types.FLOAT:
    case Types.DOUBLE:
        return new FloatSplitter();

    case Types.CHAR:
    case Types.VARCHAR:
    case Types.LONGVARCHAR:
        return new TextSplitter();

    case Types.DATE:
    case Types.TIME:
    case Types.TIMESTAMP:
        return new DateSplitter();

    default:
        // TODO: Support BINARY, VARBINARY, LONGVARBINARY, DISTINCT, CLOB,
        // BLOB, ARRAY, STRUCT, REF, DATALINK, and JAVA_OBJECT.
        return null;
    }
}

From source file:co.nubetech.apache.hadoop.DataDrivenDBInputFormat.java

/**
 * @return the DBSplitter implementation to use to divide the table/query
 *         into InputSplits.//ww w. j a v a  2 s .c o  m
 */
protected DBSplitter getSplitter(int sqlDataType) {
    switch (sqlDataType) {
    case Types.NUMERIC:
    case Types.DECIMAL:
        return new BigDecimalSplitter();

    case Types.BIT:
    case Types.BOOLEAN:
        return new BooleanSplitter();

    case Types.INTEGER:
    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.BIGINT:
        return new IntegerSplitter();

    case Types.REAL:
    case Types.FLOAT:
    case Types.DOUBLE:
        return new FloatSplitter();

    case Types.CHAR:
    case Types.VARCHAR:
    case Types.LONGVARCHAR:
        return new TextSplitter();

    case Types.DATE:
    case Types.TIME:
    case Types.TIMESTAMP:
        return new DateSplitter();

    default:
        // TODO: Support BINARY, VARBINARY, LONGVARBINARY, DISTINCT, CLOB,
        // BLOB, ARRAY
        // STRUCT, REF, DATALINK, and JAVA_OBJECT.
        return null;
    }
}

From source file:org.apache.ddlutils.platform.JdbcModelReader.java

/**
 * Creates a new model reader instance.//from ww w.  j  a  v  a  2 s  .co m
 * 
 * @param platform The plaftform this builder belongs to
 */
public JdbcModelReader(Platform platform) {
    _platform = platform;

    _defaultSizes.put(new Integer(Types.CHAR), "254");
    _defaultSizes.put(new Integer(Types.VARCHAR), "254");
    _defaultSizes.put(new Integer(Types.LONGVARCHAR), "254");
    _defaultSizes.put(new Integer(Types.BINARY), "254");
    _defaultSizes.put(new Integer(Types.VARBINARY), "254");
    _defaultSizes.put(new Integer(Types.LONGVARBINARY), "254");
    _defaultSizes.put(new Integer(Types.INTEGER), "32");
    _defaultSizes.put(new Integer(Types.BIGINT), "64");
    _defaultSizes.put(new Integer(Types.REAL), "7,0");
    _defaultSizes.put(new Integer(Types.FLOAT), "15,0");
    _defaultSizes.put(new Integer(Types.DOUBLE), "15,0");
    _defaultSizes.put(new Integer(Types.DECIMAL), "15,15");
    _defaultSizes.put(new Integer(Types.NUMERIC), "15,15");

    _columnsForTable = initColumnsForTable();
    _columnsForColumn = initColumnsForColumn();
    _columnsForPK = initColumnsForPK();
    _columnsForFK = initColumnsForFK();
    _columnsForIndex = initColumnsForIndex();
}

From source file:co.nubetech.hiho.mapreduce.lib.db.apache.DataDrivenDBInputFormat.java

/**
 * @return the DBSplitter implementation to use to divide the table/query into InputSplits.
 *///from   w  w w  .  j a v  a2  s.c  o m
protected DBSplitter getSplitter(int sqlDataType) {
    switch (sqlDataType) {
    case Types.NUMERIC:
    case Types.DECIMAL:
        return new BigDecimalSplitter();

    case Types.BIT:
    case Types.BOOLEAN:
        return new BooleanSplitter();

    case Types.INTEGER:
    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.BIGINT:
        return new IntegerSplitter();

    case Types.REAL:
    case Types.FLOAT:
    case Types.DOUBLE:
        return new FloatSplitter();

    case Types.CHAR:
    case Types.VARCHAR:
    case Types.LONGVARCHAR:
        return new TextSplitter();

    case Types.DATE:
    case Types.TIME:
    case Types.TIMESTAMP:
        return new DateSplitter();

    default:
        // TODO: Support BINARY, VARBINARY, LONGVARBINARY, DISTINCT, CLOB, BLOB, ARRAY
        // STRUCT, REF, DATALINK, and JAVA_OBJECT.
        return null;
    }
}

From source file:org.jumpmind.db.platform.oracle.OracleDdlReader.java

@Override
protected Integer mapUnknownJdbcTypeForColumn(Map<String, Object> values) {
    String typeName = (String) values.get("TYPE_NAME");
    if (typeName != null && typeName.startsWith("DATE")) {
        return Types.DATE;
    } else if (typeName != null && typeName.startsWith("TIMESTAMP") && !typeName.endsWith("TIME ZONE")) {
        // This is for Oracle's TIMESTAMP(9)
        return Types.TIMESTAMP;
    } else if (typeName != null && typeName.startsWith("TIMESTAMP") && typeName.endsWith("WITH TIME ZONE")) {
        return ColumnTypes.ORACLE_TIMESTAMPTZ;
    } else if (typeName != null && typeName.startsWith("TIMESTAMP")
            && typeName.endsWith("WITH LOCAL TIME ZONE")) {
        return ColumnTypes.ORACLE_TIMESTAMPLTZ;
    } else if (typeName != null && typeName.startsWith("NVARCHAR")) {
        // This is for Oracle's NVARCHAR type
        return Types.VARCHAR;
    } else if (typeName != null && typeName.startsWith("LONGNVARCHAR")) {
        return Types.LONGVARCHAR;
    } else if (typeName != null && typeName.startsWith("NCHAR")) {
        return Types.CHAR;
    } else if (typeName != null && typeName.startsWith("XML")) {
        return Types.LONGVARCHAR;
    } else if (typeName != null && typeName.endsWith("CLOB")) {
        return Types.LONGVARCHAR;
    } else if (typeName != null && typeName.startsWith("BINARY_FLOAT")) {
        return Types.FLOAT;
    } else if (typeName != null && typeName.startsWith("BINARY_DOUBLE")) {
        return Types.DOUBLE;
    } else if (typeName != null && typeName.startsWith("BFILE")) {
        return Types.VARCHAR;
    } else {//w w  w  . ja v a 2  s . c  o m
        return super.mapUnknownJdbcTypeForColumn(values);
    }
}

From source file:org.apache.tajo.storage.jdbc.JdbcMetadataProviderBase.java

private TypeDesc convertDataType(ResultSet res) throws SQLException {
    final int typeId = res.getInt("DATA_TYPE");

    switch (typeId) {
    case Types.BOOLEAN:
        return new TypeDesc(newSimpleDataType(Type.BOOLEAN));

    case Types.TINYINT:
    case Types.SMALLINT:
    case Types.INTEGER:
        return new TypeDesc(newSimpleDataType(Type.INT4));

    case Types.DISTINCT: // sequence for postgresql
    case Types.BIGINT:
        return new TypeDesc(newSimpleDataType(Type.INT8));

    case Types.FLOAT:
        return new TypeDesc(newSimpleDataType(Type.FLOAT4));

    case Types.NUMERIC:
    case Types.DECIMAL:
    case Types.DOUBLE:
        return new TypeDesc(newSimpleDataType(Type.FLOAT8));

    case Types.DATE:
        return new TypeDesc(newSimpleDataType(Type.DATE));

    case Types.TIME:
        return new TypeDesc(newSimpleDataType(Type.TIME));

    case Types.TIMESTAMP:
        return new TypeDesc(newSimpleDataType(Type.TIMESTAMP));

    case Types.CHAR:
    case Types.NCHAR:
    case Types.VARCHAR:
    case Types.NVARCHAR:
    case Types.CLOB:
    case Types.NCLOB:
    case Types.LONGVARCHAR:
    case Types.LONGNVARCHAR:
        return new TypeDesc(newSimpleDataType(Type.TEXT));

    case Types.BINARY:
    case Types.VARBINARY:
    case Types.BLOB:
        return new TypeDesc(newSimpleDataType(Type.BLOB));

    default:/* w  ww .j  a v a2s . c o m*/
        throw SQLExceptionUtil.toSQLException(new UnsupportedDataTypeException(typeId + ""));
    }
}

From source file:org.jumpmind.db.platform.mssql.MsSqlDdlReader.java

protected Integer mapUnknownJdbcTypeForColumn(Map<String, Object> values) {
    String typeName = (String) values.get("TYPE_NAME");
    int size = -1;
    String columnSize = (String) values.get("COLUMN_SIZE");
    if (isNotBlank(columnSize)) {
        size = Integer.parseInt(columnSize);
    }/*  w  ww  .j  a v a2  s. co  m*/
    if (typeName != null && typeName.toLowerCase().startsWith("text")) {
        return Types.LONGVARCHAR;
    } else if (typeName != null && typeName.toLowerCase().startsWith("ntext")) {
        return Types.CLOB;
    } else if (typeName != null && typeName.toUpperCase().contains(TypeMap.GEOMETRY)) {
        return Types.VARCHAR;
    } else if (typeName != null && typeName.toUpperCase().contains("VARCHAR") && size > 8000) {
        return Types.LONGVARCHAR;
    } else if (typeName != null && typeName.toUpperCase().contains("NVARCHAR") && size > 8000) {
        return Types.LONGNVARCHAR;
    } else if (typeName != null && typeName.toUpperCase().equals("SQL_VARIANT")) {
        return Types.BINARY;
    } else {
        return super.mapUnknownJdbcTypeForColumn(values);
    }
}